教師資料查詢 | 類別: 會議論文 | 教師: 陳俊豪 CHUN-HAO CHEN (瀏覽個人網頁)

標題:Mining Fuzzy Coherent Rules from Quantitative Transactions Without Minimum Support Threshold
學年
學期
發表日期2012/06/10
作品名稱Mining Fuzzy Coherent Rules from Quantitative Transactions Without Minimum Support Threshold
作品名稱(其他語言)
著者Chne, Chun-hao; Li, Ai-fang; Lee, Yeong-chyi; Hong, Tzung-pei
作品所屬單位淡江大學資訊工程學系
出版者IEEE
會議名稱Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
會議地點Brisbane, Australia
摘要Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from the give quantitative transactions. However, some comment problems of those approaches are that (1) a minimum support should be predefined, and it is hard to set the appropriate one, and (2) the derived rules usually expose common-sense knowledge which may not be interested in business point of view. In this paper, we thus proposed an algorithm for mining fuzzy coherent rules to overcome those problems with the properties of propositional logic. It first transforms quantitative transactions into fuzzy sets. Then, those generated fuzzy sets are collected to generate candidate fuzzy coherent rules. Finally, contingency tables are calculated and used for checking those candidate fuzzy coherent rules satisfy four criteria or not. Experiments on the foodmart dataset are also made to show the effectiveness of the proposed algorithm.
關鍵字data mining; fuzzy association rules; fuzzy coherent rules; fuzzy set; membership function
語言英文
收錄於EI
會議性質國際
校內研討會地點
研討會時間20120610~20120615
通訊作者Chen, Chun-hao
國別澳洲
公開徵稿Y
出版型式
出處Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, pp.1779-1783
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